Alexandra Fullár
Impact in
- Cell Biology top 10%
- Proteoglycans and glycosaminoglycans research
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- Protease and Inhibitor Mechanisms
- Cancer-related molecular mechanisms research
Papers in
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- Glycosylation and Glycoproteins Research 4
- Fibroblast Growth Factor Research 3
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- Proteoglycans and glycosaminoglycans research 5
- Co-authors
- Ilona Kovalszky (14 shared papers)József Dudás (9 shared papers)Kornélia Baghy (7 shared papers)Herbert Riechelmann (4 shared papers)Georg Mathias Sprinzl (3 shared papers)Volker Hans Schartinger (3 shared papers)Sándor Paku (3 shared papers)Zsuzsa Schaff (2 shared papers)
- Journals
- Experimental Cell Research (3 papers)PLoS ONE (3 papers)Pathology & Oncology Research (2 papers)Matrix Biology (1 paper)BioMed Research International (1 paper)
- Partner nations
- HungaryAustriaUnited States
In The Last Decade
Alexandra Fullár
13 papers receiving 513 citations
Peers
Comparison fields: 5 of 78
- Cell Biology 153
- Cancer Research 136
- Immunology and Allergy 41
- Oncology 168
- Molecular Medicine 20
Countries citing papers authored by Alexandra Fullár
This map shows the geographic impact of Alexandra Fullár's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Alexandra Fullár with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandra Fullár more than expected).
Fields of papers citing papers by Alexandra Fullár
This network shows the impact of papers produced by Alexandra Fullár. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Alexandra Fullár. The network helps show where Alexandra Fullár may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexandra Fullár, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 111 | |
| 2 | 2010 | 82 | |
| 3 | 2013 | 71 | |
| 4 | 2012 | 64 | |
| 5 | 2011 | 57 | |
| 6 | 2012 | 43 | |
| 7 | 2012 | 34 | |
| 8 | 2014 | 14 | |
| 9 | 2020 | 13 | |
| 10 | 2020 | 10 | |
| 11 | 2014 | 9 | |
| 12 | 2016 | 5 | |
| 13 | 2016 | 5 | |
| 14 | 2020 | 1 | |
| 15 | 2015 | 1 |
About Alexandra Fullár
Alexandra Fullár is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Hepatology and Oncology, having authored 15 papers that have together received 520 indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (5 papers), Glycosylation and Glycoproteins Research (4 papers), Liver physiology and pathology (3 papers), Fibroblast Growth Factor Research (3 papers), Protease and Inhibitor Mechanisms (3 papers), Cell Adhesion Molecules Research (2 papers), Peptidase Inhibition and Analysis (2 papers) and Forensic and Genetic Research (1 paper). The work is most often cited by research in Cell Biology (153 citations), Cancer Research (136 citations), Immunology and Allergy (41 citations), Oncology (168 citations) and Molecular Medicine (20 citations). Alexandra Fullár has collaborated with scholars based in Hungary, Austria and United States. Frequent co-authors include Ilona Kovalszky, József Dudás, Kornélia Baghy, Herbert Riechelmann, Georg Mathias Sprinzl, Volker Hans Schartinger, Sándor Paku, Zsuzsa Schaff, Renato V. Iozzo and Mario Bitsche. Their work appears in journals such as Experimental Cell Research, PLoS ONE, Pathology & Oncology Research, Matrix Biology and BioMed Research International.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.